KFA2 GeForce GTX 1660 Ti (1-Click OC) vs. ASUS ROG Strix GeForce GTX 1070 Ti

GPU comparison with benchmarks

KFA2 GeForce GTX 1660 Ti (1-Click OC)
-VS-
ASUS ROG Strix GeForce GTX 1070 Ti
GPU
NVIDIA GeForce GTX 1660 Ti Based on NVIDIA GeForce GTX 1070 Ti
TU116-400-A1 GPU Chip GP104-300-A1
24 Execution units 199
1536 Shader 2432
48 Render Output Units 64
96 Texture Units 152
Memory
6 GB Memory Size 8 GB
GDDR6 Memory Type GDDR5
1.5 GHz Memory Speed 2.002 GHz
288 GB/s Memory Bandwith 256 GB/s
192 bit Memory Interface 256 bit
Clock Speeds
1.500 GHz Base Clock 1.607 GHz
1.800 GHz Boost Clock 1.721 GHz
1.79 GHz Avg (Game) Clock 1.68 GHz
Yes Overclocking Yes
Thermal Design
120 W TDP 180 W
-- TDP (up) --
-- Tjunction max --
1 x 8-Pin PCIe-Power 1 x 8-Pin
Cooler & Fans
Axial Fan-Type Axial
2 x 90 mm Fan 1 3 x 90 mm
-- Fan 2 --
Air cooling Cooler-Type Air cooling
0 dB / Silent Noise (Idle) 0 dB / Silent
-- Noise (Load) --
Connectivity
3 Max. Displays 4
2.2 HDCP-Version 2.2
1x HDMI v2.0b HDMI Ports 2x HDMI v2.0b
1x DP v1.4 DP Ports 2x DP v1.4
1 DVI Ports 1
-- USB-C Ports --
Featureset
3840x2160 Max. resolution 7680x4320
12_1 DirectX 12_1
No Raytracing No
No DLSS / FSR No
Supported Video Codecs
Decode / Encode h264 Decode / Encode
Decode / Encode h265 / HEVC Decode / Encode
No AV1 No
Decode VP8 Decode
Decode VP9 Decode
Dimensions
228 mm Length 298 mm
132 mm Height 134 mm
42 mm Width 53 mm
2 PCIe-Slots Width (Slots) 3 PCIe-Slots
-- Weight --
PCIe 3.0 x 16 GPU Interface PCIe 3.0 x 16
Additional data
60IRL7DSY91K Part-no ROG-STRIX-GTX1070TI-8G-GAMING
Q1/2019 Release date Q4/2017
-- Release price --
12 nm Structure size 16 nm
data sheet Documents data sheet

Benchmark results

FP32 Performance (Single-precision TFLOPS) - FP32 (TFLOPS)

The theoretical computing power of the graphics card with single precision (32 bit) in TFLOPS. TFLOPS indicates how many trillion FP32 floating point operations the graphics card (GPU) can perform per second. The larger this number, the faster the graphics card is.




Crypto-Mining Ethereum Hashrate (MH/s) - Ethash Hashrate

Ethash is the Proof-of-Work (PoW) algorithm used for the crypto currency Ethereum. Ethash is based on the Dagger-Hashimoto algorithm, but has been significantly changed in some places. For example, the memory requirement (GPU memory) was significantly increased in order to make it more difficult or even to prevent the calculation of the algorithm on so-called ASICs (Application Specific Integrated Circuits). Our benchmark results are based on a slight overclocking of the graphics card and the GPU memory. The hash values achieved can be easily accessed from any card.




Crypto-Mining Ravencoin Hashrate (MH/s) - KawPow Hashrate

The KawPoW algorithm has been used with the crypto currency Ravencoin since May 2020. Previously, Ravencoin used ProgPoW (X16R and X16Rv2). KawPoW is a Proof-of-Work (PoW) algorithm and is calculated the fastest with a modern graphics card. KawPoW is based on a changing algorithm (X15 and SHA51) and can therefore not be calculated via ASIC. The developers want to protect Ravencoin from large mining farms that often use ASICs. In addition to Ravencoin, other cryptocurrencies are based on KawPoW, including Hilux and Gravium.




Crypto-Mining Ergo Hashrate (MH/s) - Autolykos 2 Hashrate

The crypto currency Ergo is based on the Autolykos algorithm, which was updated in version 2 (Autolykos 2) in early 2021. The Autolykos 2 algorithm is based on the PoW concept and can be efficiently calculated by a graphics card. When calculating Ergo Coins, ASICs have no efficiency advantage over modern graphics cards, which should make Ergo attractive for as many miners as possible. The Ergo protocol is based on the blockchain and has been optimized for a very long shelf life.




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